Run a regression of Earnings on Height. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i The 95% confidence interval for the slope coefficient is [ (Round your responses to three decimal places) ☐] Run a regression of Earnings on Height using data for female workers only. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors The 95% confidence interval for the slope coefficient is [ (Round your responses to three decimal places) ☐ Run a regression of Earnings on Height using data for male workers only. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors The 95% confidence interval for the slope coefficient is (☐, ☐ ] (Round your responses to three decimal places) Run a regression of Earnings on Height using data for female workers only. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i The 95% confidence interval for the slope coefficient is [ Run a regression of Earnings on Height using data for male workers only. Is the estimated slope statistically significant? (Round your responses to three decimal places) A. Yes. O B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors The 95% confidence interval for the slope coefficient is [ (Round your responses to three decimal places) Can you reject the null hypothesis that the effect of height on earnings is the same for men and women? A. Yes. B. No.
Run a regression of Earnings on Height. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i The 95% confidence interval for the slope coefficient is [ (Round your responses to three decimal places) ☐] Run a regression of Earnings on Height using data for female workers only. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors The 95% confidence interval for the slope coefficient is [ (Round your responses to three decimal places) ☐ Run a regression of Earnings on Height using data for male workers only. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors The 95% confidence interval for the slope coefficient is (☐, ☐ ] (Round your responses to three decimal places) Run a regression of Earnings on Height using data for female workers only. Is the estimated slope statistically significant? A. Yes. B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i The 95% confidence interval for the slope coefficient is [ Run a regression of Earnings on Height using data for male workers only. Is the estimated slope statistically significant? (Round your responses to three decimal places) A. Yes. O B. No. Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors The 95% confidence interval for the slope coefficient is [ (Round your responses to three decimal places) Can you reject the null hypothesis that the effect of height on earnings is the same for men and women? A. Yes. B. No.
Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 2E
Question
In this exercise, you will investigate the relationship between earnings and height.
These data are taken from the US National Health Interview Survey for 1994. Download the data from the table by clicking the download table icon
Use a statistical package of your choice to answer the following questions.
.
A detailed description of the variables used in the dataset is available here
LOADING...
.Earnings and Height,,
Earnings,Height,Sex
84141.75,59,0
84062.75,59,0
7715.8540039063,59,0
84130.75,59,0
84131.75,60,0
44119.16015625,60,0
17229.263671875,60,0
84067.75,60,0
84123.75,60,0
84014.75,60,0
38979.3359375,60,0
33717.96875,60,0
44097.16015625,61,0
33753.96875,61,0
49443.109375,61,0
84062.75,61,0
33755.96875,61,0
28552.38671875,61,0
44214.16015625,61,0
83991.75,61,0
44095.16015625,61,0
33787.96875,61,0
83978.75,61,0
84071.75,61,0
28470.38671875,61,0
33698.96875,61,0
49482.109375,61,0
33732.96875,62,0
18255.841796875,62,0
44140.16015625,62,0
84133.75,62,0
84060.75,62,0
44114.16015625,62,0
83995.75,62,0
10793.4287109375,62,0
84077.75,62,0
23397.873046875,62,0
38998.3359375,62,0
84026.75,62,0
84020.75,62,0
84017.75,62,0
23399.873046875,62,0
44140.16015625,62,0
84090.75,62,0
44055.16015625,62,0
84095.75,62,0
84066.75,62,0
23381.873046875,62,0
23299.873046875,63,0
49365.109375,63,0
9825.505859375,67,1
83959.75,67,1
23349.873046875,67,1
38863.3359375,67,1
20239.509765625,67,1
33794.96875,67,1
84022.75,67,1
84049.75,67,1
5724.8955078125,67,1
44198.16015625,68,1
84041.75,68,1
83982.75,68,1
33683.96875,68,1
38950.3359375,68,1
84113.75,68,1
84000.75,68,1
84152.75,68,1
84096.75,68,1
44219.16015625,68,1
44161.16015625,68,1
84013.75,68,1
84071.75,68,1
49443.109375,68,1
84135.75,68,1
84027.75,68,1
84014.75,68,1
10838.4287109375,68,1
83961.75,68,1
33800.96875,68,1
83986.75,68,1
44117.16015625,68,1
84078.75,68,1
84080.75,68,1
83966.75,68,1
84019.75,68,1
44199.16015625,68,1
28528.38671875,68,1
84110.75,68,1
84141.75,68,1
17071.263671875,68,1
23289.873046875,68,1
84073.75,68,1
84075.75,68,1
83970.75,69,1
84129.75,69,1
38957.3359375,69,1
28581.38671875,69,1
33676.96875,69,1
84011.75,69,1
23380.873046875,69,1
,,
Earnings,Height,Sex
84141.75,59,0
84062.75,59,0
7715.8540039063,59,0
84130.75,59,0
84131.75,60,0
44119.16015625,60,0
17229.263671875,60,0
84067.75,60,0
84123.75,60,0
84014.75,60,0
38979.3359375,60,0
33717.96875,60,0
44097.16015625,61,0
33753.96875,61,0
49443.109375,61,0
84062.75,61,0
33755.96875,61,0
28552.38671875,61,0
44214.16015625,61,0
83991.75,61,0
44095.16015625,61,0
33787.96875,61,0
83978.75,61,0
84071.75,61,0
28470.38671875,61,0
33698.96875,61,0
49482.109375,61,0
33732.96875,62,0
18255.841796875,62,0
44140.16015625,62,0
84133.75,62,0
84060.75,62,0
44114.16015625,62,0
83995.75,62,0
10793.4287109375,62,0
84077.75,62,0
23397.873046875,62,0
38998.3359375,62,0
84026.75,62,0
84020.75,62,0
84017.75,62,0
23399.873046875,62,0
44140.16015625,62,0
84090.75,62,0
44055.16015625,62,0
84095.75,62,0
84066.75,62,0
23381.873046875,62,0
23299.873046875,63,0
49365.109375,63,0
9825.505859375,67,1
83959.75,67,1
23349.873046875,67,1
38863.3359375,67,1
20239.509765625,67,1
33794.96875,67,1
84022.75,67,1
84049.75,67,1
5724.8955078125,67,1
44198.16015625,68,1
84041.75,68,1
83982.75,68,1
33683.96875,68,1
38950.3359375,68,1
84113.75,68,1
84000.75,68,1
84152.75,68,1
84096.75,68,1
44219.16015625,68,1
44161.16015625,68,1
84013.75,68,1
84071.75,68,1
49443.109375,68,1
84135.75,68,1
84027.75,68,1
84014.75,68,1
10838.4287109375,68,1
83961.75,68,1
33800.96875,68,1
83986.75,68,1
44117.16015625,68,1
84078.75,68,1
84080.75,68,1
83966.75,68,1
84019.75,68,1
44199.16015625,68,1
28528.38671875,68,1
84110.75,68,1
84141.75,68,1
17071.263671875,68,1
23289.873046875,68,1
84073.75,68,1
84075.75,68,1
83970.75,69,1
84129.75,69,1
38957.3359375,69,1
28581.38671875,69,1
33676.96875,69,1
84011.75,69,1
23380.873046875,69,1
,,
![Run a regression of Earnings on Height.
Is the estimated slope statistically significant?
A. Yes.
B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i
The 95% confidence interval for the slope coefficient is [
(Round your responses to three decimal places)
☐]
Run a regression of Earnings on Height using data for female workers only.
Is the estimated slope statistically significant?
A. Yes.
B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors
The 95% confidence interval for the slope coefficient is [
(Round your responses to three decimal places)
☐
Run a regression of Earnings on Height using data for male workers only.
Is the estimated slope statistically significant?
A. Yes.
B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc9737efd-391f-457a-98f6-aa044a0527f1%2F975d2598-6407-49e9-bf8c-1a803b2f8a9f%2Fwycqieq_processed.png&w=3840&q=75)
Transcribed Image Text:Run a regression of Earnings on Height.
Is the estimated slope statistically significant?
A. Yes.
B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i
The 95% confidence interval for the slope coefficient is [
(Round your responses to three decimal places)
☐]
Run a regression of Earnings on Height using data for female workers only.
Is the estimated slope statistically significant?
A. Yes.
B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors
The 95% confidence interval for the slope coefficient is [
(Round your responses to three decimal places)
☐
Run a regression of Earnings on Height using data for male workers only.
Is the estimated slope statistically significant?
A. Yes.
B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors
![The 95% confidence interval for the slope coefficient is (☐, ☐ ]
(Round your responses to three decimal places)
Run a regression of Earnings on Height using data for female workers only.
Is the estimated slope statistically significant?
A. Yes.
B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i
The 95% confidence interval for the slope coefficient is [
Run a regression of Earnings on Height using data for male workers only.
Is the estimated slope statistically significant?
(Round your responses to three decimal places)
A. Yes.
O B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors
The 95% confidence interval for the slope coefficient is [
(Round your responses to three decimal places)
Can you reject the null hypothesis that the effect of height on earnings is the same for men and women?
A. Yes.
B. No.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc9737efd-391f-457a-98f6-aa044a0527f1%2F975d2598-6407-49e9-bf8c-1a803b2f8a9f%2Fomzv6c9_processed.png&w=3840&q=75)
Transcribed Image Text:The 95% confidence interval for the slope coefficient is (☐, ☐ ]
(Round your responses to three decimal places)
Run a regression of Earnings on Height using data for female workers only.
Is the estimated slope statistically significant?
A. Yes.
B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors i
The 95% confidence interval for the slope coefficient is [
Run a regression of Earnings on Height using data for male workers only.
Is the estimated slope statistically significant?
(Round your responses to three decimal places)
A. Yes.
O B. No.
Construct a 95% confidence interval for the slope coefficient using heteroskedasticity-robust standard errors
The 95% confidence interval for the slope coefficient is [
(Round your responses to three decimal places)
Can you reject the null hypothesis that the effect of height on earnings is the same for men and women?
A. Yes.
B. No.
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